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International Conference on Text, Speech, and Dialogue

TSD 2016: Text, Speech, and Dialogue pp 12–19Cite as

Generating of Events Dictionaries from Polish WordNet for the Recognition of Events in Polish Documents

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9924))

Abstract

In this article we present the result of the recent research in the recognition of events in Polish. Event recognition plays a major role in many natural language processing applications such as question answering or automatic summarization. We adapted TimeML specification (the well known guideline for English) to Polish language. We annotated 540 documents in Polish Corpus of Wrocław University of Technology (KPWr) using our specification. Here we describe the results achieved by Liner2 (a machine learning toolkit) adapted to the recognition of events in Polish texts.

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Notes

  1. 1.

    The comprehensive description of the modified guidelines is presented in [3].

  2. 2.

    http://nlp.pwr.wroc.pl/en/tools-and-resources/liner2.

  3. 3.

    http://crfpp.sourceforge.net/.

References

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Acknowledgments

Work financed as part of the investment in the CLARIN-PL research infrastructure funded by the Polish Ministry of Science and Higher Education.

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Authors and Affiliations

  1. Department of Computational Intelligence, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Jan Kocoń & Michał Marcińczuk

Authors
  1. Jan Kocoń
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  2. Michał Marcińczuk
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Corresponding author

Correspondence to Jan Kocoń .

Editor information

Editors and Affiliations

  1. Masaryk University , Brno, Czech Republic

    Petr Sojka

  2. Masaryk University , Brno, Czech Republic

    Aleš Horák

  3. Masaryk University , Brno, Czech Republic

    Ivan Kopeček

  4. Masaryk University , Brno, Czech Republic

    Karel Pala

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Kocoń, J., Marcińczuk, M. (2016). Generating of Events Dictionaries from Polish WordNet for the Recognition of Events in Polish Documents. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech, and Dialogue. TSD 2016. Lecture Notes in Computer Science(), vol 9924. Springer, Cham. https://doi.org/10.1007/978-3-319-45510-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-45510-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45509-9

  • Online ISBN: 978-3-319-45510-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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